TY - JOUR
T1 - Using Advanced Diffusion-Weighted Imaging to Predict Cell Counts in Gray Matter
T2 - Potential and Pitfalls
AU - Radhakrishnan, Hamsanandini
AU - Shabestari, Sepideh Kiani
AU - Blurton-Jones, Mathew
AU - Obenaus, Andre
AU - Stark, Craig E.L.
N1 - Copyright © 2022 Radhakrishnan, Shabestari, Blurton-Jones, Obenaus and Stark.
PY - 2022/6/3
Y1 - 2022/6/3
KW - High Angular Resolution Diffusion Imaging (HARDI)
KW - MRI
KW - NODDI
KW - cell count
KW - diffusion weighted imaging (DWI)
KW - non-invasive biomarkers
KW - prediction model
UR - https://www.scopus.com/pages/publications/85133227786
UR - https://www.scopus.com/pages/publications/85133227786#tab=citedBy
UR - https://www.mendeley.com/catalogue/1c60f922-11f7-3789-bf94-eca67e0ff372/
U2 - 10.3389/fnins.2022.881713
DO - 10.3389/fnins.2022.881713
M3 - Article
C2 - 35720733
AN - SCOPUS:85133227786
SN - 1662-4548
VL - 16
JO - Frontiers in Neuroscience
JF - Frontiers in Neuroscience
M1 - 881713
ER -